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Nonlinear Expectations and Stochastic Calculus under Uncertainty = with Robust CLT and G-Brownian Motion /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Nonlinear Expectations and Stochastic Calculus under Uncertainty/ by Shige Peng.
Reminder of title:	with Robust CLT and G-Brownian Motion /
Author:	Peng, Shige.
Description:	XIII, 212 p. 10 illus.online resource. :
Contained By:	Springer Nature eBook
Subject:	Probabilities. -
Online resource:	https://doi.org/10.1007/978-3-662-59903-7
ISBN:	9783662599037

Nonlinear Expectations and Stochastic Calculus under Uncertainty = with Robust CLT and G-Brownian Motion /
Peng, Shige.

Nonlinear Expectations and Stochastic Calculus under Uncertaintywith Robust CLT and G-Brownian Motion /[electronic resource] :by Shige Peng. - 1st ed. 2019. - XIII, 212 p. 10 illus.online resource. - Probability Theory and Stochastic Modelling,952199-3130 ;. - Probability Theory and Stochastic Modelling,76.

Sublinear Expectations and Risk Measures -- Law of Large Numbers and Central Limit Theorem under Uncertainty -- G-Brownian Motion and Itô’s Calculus -- G-Martingales and Jensen’s Inequality -- Stochastic Differential Equations -- Capacity and Quasi-Surely Analysis for G-Brownian Paths -- G-Martingale Representation Theorem -- Some Further Results of Itô’s Calculus -- Appendix A Preliminaries in Functional Analysis -- Appendix B Preliminaries in Probability Theory -- Appendix C Solutions of Parabolic Partial Differential Equation -- Bibliography -- Index of Symbols -- Subject Index -- Author Index.

This book is focused on the recent developments on problems of probability model uncertainty by using the notion of nonlinear expectations and, in particular, sublinear expectations. It provides a gentle coverage of the theory of nonlinear expectations and related stochastic analysis. Many notions and results, for example, G-normal distribution, G-Brownian motion, G-Martingale representation theorem, and related stochastic calculus are first introduced or obtained by the author. This book is based on Shige Peng’s lecture notes for a series of lectures given at summer schools and universities worldwide. It starts with basic definitions of nonlinear expectations and their relation to coherent measures of risk, law of large numbers and central limit theorems under nonlinear expectations, and develops into stochastic integral and stochastic calculus under G-expectations. It ends with recent research topic on G-Martingale representation theorem and G-stochastic integral for locally integrable processes. With exercises to practice at the end of each chapter, this book can be used as a graduate textbook for students in probability theory and mathematical finance. Each chapter also concludes with a section Notes and Comments, which gives history and further references on the material covered in that chapter. Researchers and graduate students interested in probability theory and mathematical finance will find this book very useful.

ISBN: 9783662599037

Standard No.: 10.1007/978-3-662-59903-7doiSubjects--Topical Terms:

527847
Probabilities.

LC Class. No.: QA273.A1-274.9

Dewey Class. No.: 519.2

Nonlinear Expectations and Stochastic Calculus under Uncertainty = with Robust CLT and G-Brownian Motion /
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